About the role#
As a Data Engineer Co-Op, you will develop data pipelines and products that transform laser-machine and enterprise data into usable information. You will work alongside data architects, software engineers, and business stakeholders to support analytics, AI, and system performance. This role focuses on building, testing, and deploying data solutions at an enterprise scale.
What you'll do#
- Develop and enhance data pipeline solutions for product features, analytics, and AI use cases.
- Build processes for data ingestion, transformation, validation, and integration.
- Contribute to automated continuous data integration pipelines used to build and release data solutions.
- Optimize SQL transformations, data models, and analytical datasets.
- Identify root causes for technical issues and standardize reusable solutions.
- Collaborate with cross-functional teams on system design and performance improvements.
- Translate business requirements into technical solutions.
- Improve data quality, observability, monitoring, and governance.
- Apply practices for code quality, automated testing, version control, and documentation.
- Refactor existing code to help legacy and modern systems coexist.
- Participate in code reviews, technical design discussions, and agile delivery activities.
- Contribute reusable data components for multiple teams and use cases.
What you'll need#
- Current pursuit of a Bachelor's or Master's degree in Computer Science, Computer Engineering, Data Engineering, Information Systems, Software Engineering, or a related field.
- Knowledge of or experience with Python, SQL, Java, or a comparable programming language.
- Understanding of relational databases, data modeling, and data integration concepts.
- Familiarity with Databricks, SQL Server, or other database and data-platform technologies.
- Familiarity with Microsoft Azure or another cloud environment.
- Exposure to ETL/ELT development, data pipelines, or analytical data processing.
- Academic, personal, or professional project experience performing data engineering work.
- Familiarity with Git, automated testing, or CI/CD is preferred.
- Experience with data quality, pipeline monitoring, or data visualization is a plus.
Location & details#
- Location: San Diego, California.
- Work Modality: Hybrid.
- Employment Type: Part time.
- Compensation: Paid internship.
About ASML
ASML produces lithography machines used by manufacturers to create microchips. The company provides hardware, software, and services to print patterns on silicon using ultraviolet light. Founded in 1984, it is based in Veldhoven and maintains over 60 locations globally. The organization employs more than 36,000 people across diverse departments including IT, software development, and customer support.
How to get in at ASML
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